• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1927_1928
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• 2009

한국철도공사의 조사에 의하면 KTX 이용 시 승객들이 느끼는 가장 불편한 점 중에 하나로 소음문제를 지적하고 있다. 특히 한국은 프랑스 등 유럽 국가와 달리 터널 구간이 차지하는 비중이 높아 터널 구간에서의 소음이 심각한 문제가 되고 있다. 본 연구에서는 KTX 터널 구간 운행 시 발생하는 소음을 능동소음제어 기법으로 제어하는 가능성을 알아보기 위하여 안정도가 강화된 IIR LMS 알고리즘을 이용하여 KTX 소음을 저감하는 능동소음제어시스템을 제안하고, 이를 이용하여 직접 측정된 KTX 소음을 제어하는 컴퓨터 시뮬레이션을 수행하였다.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1005-1008
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• 1996

We consider the interval of a gain within which it is guaranteed that a feedback control system is stable. This paper presents the condition under which either a unity feedback control system is stable for a connected gain interval with a proportional compensator cascaded with an open loop forward transfer function. By the connected interval we mean that all the numbers between any two numbers in the connected interval belongs to the connected interval. The condition may be described by a frequency inequality in terms of the denominator and/or numerator of the closed loop transfer function. We also consider the conditions for the discrete-time control systems and the time delay continuous-time control systems. We show that this condition cannot be extended for the transfer function having complex coefficients via a counterexample.

• ICROS
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• v.13 no.3
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• pp.47-52
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• 2007

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.4
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• pp.350-358
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• 2009

This paper describes a result of the guidance and control for re-entry vehicle during TAEM phase. TAEM phase (Terminal Aerial Energy Management phase) has many conditions, such as density, velocity, and so on. Under these conditions, we have optimized trajectory and other states for guidance in TAEM phase. The optimized states consist of 7 variables, down-range, cross range, altitude, velocity, flight path angle, vehicle's azimuth and flight range. We obtained the optimized reference trajectory by DIDO tool, and used feedback linearization with neural network for control re-entry vehicle. By back propagation algorithm, vehicle dynamics is approximated to real one. New command can be decided using the approximated dynamics, delayed command input and plant output, NARMA-L2. The result by this control law shows a good performance of tracking onto the reference trajectory.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.45 no.11
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• pp.967-974
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• 2017

Reaction wheel shows nonlinear torque response on low-speed region due to friction. Thus precise satellite attitude control on this region is hard to achieve. Previous research tries to solve this problem, by compensating friction or applying dither command. However, due to difficulties of drag torque modeling or frequent zero wheel speed crossing, these methods are not suitable to apply on the real satellite attitude control. To solve this problem, we propose the attitude controller gain adjustment method based on the attitude error.

• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.632-637
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• 2018

AC 및 DC 전력공급구간에서 모두 주행이 가능한 AC/DC 철도차량은 추진제어장치 내부에 컨버터 및 인버터가 모두 구성되어 있다. 따라서 DC 철도차량에 비해서 구성이 복잡하며 각 전력공급 환경에 적합한 인버터 제어 방법이 요구된다. 본 논문에서는 각 전력공급구간에서 고려되어야 할 사항과 이에 대한 인버터 제어 방법에 대하여 기술하고 서울 1호선 및 4호선 철도차량에 적용한 결과를 분석하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.6
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• pp.558-564
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• 2008

This paper presents an approach to combine adaptive controller with feedback linearization, which extends the applicability of the adaptive controller to a wider class of systems. The adaptive controller guarantees the asymptotic tracking convergence and the transient performance of the tracking error. The feedback linearization transforms a nonlinear plant into a linear time invariant form. The asymptotic tracking convergence is shown by the use of Lyapunov stability analysis and Barbalat's lemma.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.5
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• pp.115-120
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• 2019

In this paper, we present the results of the performance statistical analysis of the multi-robot formation control based on receding horizon particle swarm optimization (RHPSO). The formation control problem of multi-robot system can be defined as a constrained nonlinear optimization problem when considering collision avoidance between robots. In general, the constrained nonlinear optimization problem has a problem that it takes a long time to find the optimal solution. The RHPSO algorithm was proposed to quickly find a suboptimal solution to the optimization problem of multi-robot formation control. The computational complexity of the RHPSO increases as the number of candidate solutions and generations increases. Therefore, it is important to find a suboptimal solution that can be used for real-time control with minimal candidate solutions and generations. In this paper, we compared the formation error according to the number of candidate solutions and the number of generations. Through numerical simulations under various conditions, the results are analyzed statistically and the minimum number of candidate solutions and the minimum number of generations of the RHPSO algorithm are derived within the allowable control error.

• Aerospace Engineering and Technology
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• v.12 no.1
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• pp.189-199
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• 2013

This paper summarizes results of second stage attitude control of KSLV-I third flight test. The results show that three axes attitude control at coasting phases of KSLV-I was successfully accomplished by the reaction control system, and pitch and yaw attitude control at thrusting phase where second stage kick motor burns was also normally accomplished by using the thrust vector control system. It is verified that the second stage controller performed successfully for all flight phases regardless of some disturbances due to mass center offset, slag effects, and residual thrust of kick motor. These results may provide an important basis in enhancing domestic technology level of attitude control of launch vehicle.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1019-1022
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• 2010

네트워크 기술의 발전으로 이용할 수 있는 대역폭이 증가하고 있다. 그에 따라 증가한 대역폭을 효율적으로 사용하기 위한 전송 기술이 요구되고 있다. TCP Vegas는 RTT(Round Trip Time)를 이용해 혼잡을 미리 예측하여 윈도우 크기를 조절하는 혼잡 제어 알고리즘을 사용한다. UDT는 높은 대역폭과 큰 RTT 환경에서 대용량 데이터를 전송하기 위해 제공된 응용 기반의 전송 프로토콜이다. 본 논문에서는 UDT에 혼잡예측 알고리즘을 적용한 새로운 UDT의 혼잡제어 알고리즘을 제안한다. 혼잡예측을 통해 혼잡한 구간, 혼잡하지 않은 구간을 나누어 혼잡윈도우를 갱신한다. 혼잡하지 않은 구간에서 혼잡윈도우를 증가시키고 혼잡한 구간에서 혼잡윈도우를 감소시킴으로써 기존의 UDT보다 성능이 개선되었음을 확인 할 수 있다.